Business object matching method and related equipment

By parsing the retrieved text and performing knowledge graph and visual feature vector retrieval in parallel, and integrating and rearranging candidate objects, the problem of business object matching deviation caused by the diversity of user input and incomplete information is solved, achieving higher accuracy and stability.

CN122045398APending Publication Date: 2026-05-15KINGDEE SMART TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
KINGDEE SMART TECH (SHENZHEN) CO LTD
Filing Date
2026-02-04
Publication Date
2026-05-15

AI Technical Summary

Technical Problem

Existing technologies struggle to guarantee the accuracy and reliability of business processing results when faced with diverse user input formats, incomplete descriptive information, or high similarity of processing objects, thus impacting overall business processing efficiency.

Method used

By parsing the search text to generate search attribute information, and performing two search processes in parallel based on knowledge graphs and visual feature vectors, complementary candidate coverage is formed. Subsequently, the candidate business object set is fused and rearranged to determine the target business object.

Benefits of technology

It improves the accuracy and stability of business object matching results, enhances the reliability and efficiency of overall business processing, and reduces the risk of errors caused by single-path deviations.

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Abstract

The embodiment of the invention discloses a business object matching method and related equipment, which are used for improving the accuracy and efficiency of business object matching. The method provided by the embodiment of the invention comprises the following steps: acquiring a retrieval text for retrieving a business object, and analyzing the retrieval text based on a preset analysis strategy to obtain retrieval attribute information corresponding to the retrieval text; executing first retrieval processing based on the retrieval attribute information to obtain a first candidate business object set returned by the first retrieval processing; executing second retrieval processing based on the retrieval attribute information to obtain a second candidate business object set returned by the second retrieval processing; the first candidate business object set and the second candidate business object set are fused and then rearranged, and a target business object matched with the retrieval text is obtained.
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